LeetCode SQL 50

Fiddling around with DataFusion, pandas, and PyArrow.

Select

Problem #	Title	Difficulty	PyArrow	DataFusion	pandas
1757	Recyclable and Low Fat Products	Easy	✅	❌	✅
584	Find Customer Referee	Easy	✅	❌	✅
595	Big Countries	Easy	✅	❌	✅
1148	Article Views I	Easy	✅	❌	✅
1683	Invalid Tweets	Easy	✅	❌	❌

Basic Joins

Problem #	Title	Difficulty	PyArrow	DataFusion	pandas
1378	Replace Employee ID With The Unique Identifier	Easy	✅	❌	❌
1068	Product Sales Analysis I	Easy	✅	❌	❌
1581	Customer Who Visited but Did Not Make Any Transactions	Easy	✅	❌	❌
197	Rising Temperature	Easy	✅	❌	❌
1661	Average Time of Process per Machine	Easy	✅	❌	❌
577	Employee Bonus	Easy	✅	❌	❌
1280	Students and Examinations	Easy	✅	❌	❌
570	Managers with at Least 5 Direct Reports	Medium	✅	❌	❌
1934	Confirmation Rate	Medium	✅	❌	❌

Basic Aggregate Functions

Problem #	Title	Difficulty	PyArrow	DataFusion	pandas
620	Not Boring Movies	Easy	✅	✅	❌
1251	Average Selling Price	Easy	✅	❌	❌
1075	Project Employees I	Easy	✅	❌	❌
1633	Percentage of Users Attended a Contest	Easy	✅	❌	❌
1211	Queries Quality and Percentage	Easy	✅	❌	❌
1193	Monthly Transactions I	Medium	✅	❌	❌
1174	Immediate Food Delivery II	Medium	✅	❌	❌
550	Game Play Analysis IV	Medium	✅	❌	❌

Sorting and Grouping

Problem #	Title	Difficulty	PyArrow	DataFusion	pandas
2356	Number of Unique Subjects Taught by Each Teacher	Easy	✅	❌	❌
1141	User Activity for the Past 30 Days I	Easy	✅	❌	❌
1070	Product Sales Analysis III	Medium	✅	❌	❌
596	Classes More Than 5 Students	Easy	✅	❌	❌
1729	Find Followers Count	Easy	✅	❌	❌
619	Biggest Single Number	Easy	✅	❌	❌
1045	Customers Who Bought All Products	Medium	✅	❌	❌

Advanced Select and Joins

Problem #	Title	Difficulty	PyArrow	DataFusion	pandas
1731	The Number of Employees Which Report to Each Employee	Easy	✅	❌	❌
1789	Primary Department for Each Employee	Easy	✅	❌	❌
610	Triangle Judgement	Easy	✅	❌	❌
180	Consecutive Numbers	Medium	✅	❌	❌
1164	Product Price at a Given Date	Medium	✅	❌	❌
1204	Last Person to Fit in the Bus	Medium	✅	❌	❌
1907	Count Salary Categories	Medium	✅	❌	❌

Subqueries

Problem #	Title	Difficulty	PyArrow	DataFusion	pandas
1978	Employees Whose Manager Left the Company	Easy	✅	❌	❌
626	Exchange Seats	Medium	✅	❌	❌
1341	Movie Rating	Medium	✅	❌	❌
1321	Restaurant Growth	Medium	❌	✅	✅
602	Friend Requests II: Who Has the Most Friends	Medium	✅	❌	❌
585	Investments in 2016	Medium	✅	❌	❌
185	Department Top Three Salaries	Hard	✅	❌	❌

Advanced String Functions / Regex / Clause

Problem #	Title	Difficulty	PyArrow	DataFusion	pandas
1667	Fix Names in a Table	Easy	✅	❌	❌
1527	Patients With a Condition	Easy	✅	❌	❌
196	Delete Duplicate Emails	Easy	✅	❌	❌
176	Second Highest Salary	Medium	✅	✅	✅
1484	Group Sold Products By The Date	Easy	❌	✅	❌
1327	List the Products Ordered in a Period	Easy	✅	❌	❌
1517	Find Users With Valid E-Mails	Easy	✅	❌	❌